A comparative study of methods for detecting human papillomavirus in cervical and vaginal samples

Abstract

Background: Human papillomavirus (HPV) is the primary cause of cervical cancer, with HPV genotypes 16 and 18 classified as high-risk types. In Mongolia, HPV testing has been increasingly implemented in recent years, alongside updates to the national screening program. These developments highlight the need for additional testing approaches to encourage regular participation in the national screening program, improve diagnostic accuracy, and facilitate timely treatment planning. These considerations provided the rationale for this study. Aim: To detect HPV infection in cervical samples collected by healthcare professionals and vaginal samples self-collected by women, determine the concordance between the test results, and evaluate the feasibility of self-sampling for cervical cancer screening. Materials and Methods: A total of 206 women aged 25–68 years participated in the study. Two types of samples for HPV testing and one sample for PAP smear were collected from the participants. 14 high-risk of HPV genotypes were classified into three groups, and cytological findings were evaluated according to the 2014 Bethesda System. Statistical analyses were performed using SPSS version 30.0. Results: The concordance between the two sampling methods for HPV detection kappa was 0.949. High-risk HPV genotypes were detected in 50 women (35.2%) among the participants with available test results. Cytological abnormalities were identified in 51% of women who tested positive for HPV. Conclusion: Self-sampling is a reliable method for HPV detection, demonstrating good concordance with healthcare professional-collected cervical samples. It has considerable potential to increase cervical cancer screening coverage and improve access to screening, particularly in geographically remote areas.